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Found 3 papers, 1 papers with code
Successor Heads: Recurring, Interpretable Attention Heads In The Wild
In this work we present successor heads: attention heads that increment tokens with a natural ordering, such as numbers, months, and days.
Image Hijacks: Adversarial Images can Control Generative Models at Runtime
In this work, we focus on the image input to a vision-language model (VLM).
Learnable Commutative Monoids for Graph Neural Networks
And with this, we construct an aggregator of $O(\log V)$ depth, yielding exponential improvements for both parallelism and dependency length while achieving performance competitive with recurrent aggregators.
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